Application of Legendre polynomials based neural networks for the analysis of heat and mass transfer of a non-Newtonian fluid in a porous channel

In this paper, the mathematical models for flow and heat-transfer analysis of a non-Newtonian fluid with axisymmetric channels and porous walls are analyzed. The governing equations of the problem are derived by using the basic concepts of continuity and momentum equations. Furthermore, artificial i...

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Bibliographic Details
Published in:	Advances in continuous and discrete models Vol. 2022; no. 1
Main Authors:	Khan, Naveed Ahmad, Sulaiman, Muhammad, Kumam, Poom, Alarfaj, Fawaz Khaled
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 22.01.2022 Springer Nature B.V
Subjects:	Algorithms Analysis Artificial intelligence Artificial neural networks Difference and Functional Equations Difference Equations Fluid flow Functional Analysis Heat transfer Mass transfer Mathematical models Mathematics Mathematics and Statistics Momentum Neural networks Newtonian fluids Non Newtonian fluids Normal distribution Optimization Ordinary Differential Equations Partial Differential Equations Polynomials Porous walls Quadratic programming Reynolds number Root-mean-square errors Special Functions and Orthogonal Polynomials Statistical analysis Temperature profiles Velocity distribution Porous media Hybrid soft computing Sequential quadratic programming Heat and mass transfer Machine learning Generalized normal-distribution optimization Weighted Legendre neural networks Non-Newtonian fluid
ISSN:	2731-4235, 1687-1839, 2731-4235, 1687-1847
Online Access:	Get full text
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